Artificial Intelligence papers 2021

ST-Published papers on Artificial Intelligence

2021,

Tiny Reservoir Computing for Extreme Learning of Motor Control;  Niccolo Federici , Danilo Pau , Nicola Adami ,Sergio Benini, IJCNN
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A QKeras neural network zoo for deeply quantized imaging; Francesco Loro , Danilo Pau, Valeria Tomaselli, RTSI
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EEG recordings and Eye Tracking for Brain-Computer Interfaces and Robotics; Cosimo Leracitano , Nadia Mammone, Michele Lo Giudice, Valeria Tomasell, Arcangelo Bruna, Francesco Carlo Morabito, Automatica 2021
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Practical Artificial Intelligence for the IoT; Danilo Pau; IEEE Internet of Things
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ORB-SLAM with Near-infrared images and Optical Flow data; Antonio Buemi, Arcangelo Bruna, Sylvain Petinot, Nicolas Roux, ACVR
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Constrained neural networks for thermal vision; Massimiliano Galanti, Danilo Pau , Matteo Matteucci, tinyML EMEA
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Intelligent Resource Constrained Battery Management on Automotive; D. Sammartino, Pau , Denaro, Zambrano, GCCE
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Fixed Complexity Tiny Reservoir Heterogeneous Network for On-Line ECG Learning of Anomalies; Norhen Abdennadher, Danilo Pau, Arcangelo Bruna, GCCE
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Resource Constrained Neural Networks for 5G Direction-of-Arrival Estimation in Micro-controllers; Piyush Sahoo, Romesh Rajoria , Shivam Chandhok, S. J. Darak, Danilo Pau , Hem-Dutt Dabral, AIMLSystems
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Investigating the Complexity-Performance Tradeoff of URA8 Topology for Bluetooth 5.1 HAAT; Pau, Piazzese, Chephyk, ICRAMET
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Synthetic image dataset of shaft junctions inside wind turbines in presence or absence of oil leaks;  Pau, Lattuada , Turchetti, Falaschetti, Cardoni, Data in Brief
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Fixed complexity tiny reservoir heterogeneous network for on-device ECG learning of anomalies; Abdennadher, Pau, TinyML Asia
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Online learning on tiny micro-controllers for anomaly detection in water distribution systems; Pau, Denaro, Khiari, ICCE-Berlin
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Online Learning of Oil Leaks Anomalies in Wind Turbines with Block Based Binary Reservoir;  Pau, Cardoni, Lattuada, Falaschetti, Turchett, ICCE-Berlin
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Multimodal AI-based security at the edge (MAISE); José Cano, Jeremy Singer , Sye Loong Keoh, Ferheen Ayaz , Danilo Pau, PETRAS
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Neural Network for 2D Range Scanner Point to Point Navigation System; G. Spampinato, A. Bruna, I. Guarneri, D. Giacalone, ASTES Journal
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Microcontroller architectures for battery state of charge prediction with tiny neural networks; D. Pau, D. Denaro, G. Gruosso, A. Sahnoun, ICCE-Berlin
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Change Detection in Multivariate Datastreams Controlling False Alarms; Luca Frittoli, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi; ECML PKDD 2021
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Exploiting History Data for Nonstationary Multi-armed Bandit; Gerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi, Marcello Restelli. Proceedings of European Conference on Machine Learning (ECML) 2021
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Profiled Attacks against the Elliptic Curve Scalar Point Multiplication using Neural Networks;  Alessandro Barenghi, Diego Carrera, Silvia Mella, Andrea Pace, Gerardo Pelosi, Ruggero Susella. International Conference on Network and System Security (NSS) 2021.
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"A grapevine leaves dataset for early detection and classification of Esca disease in vineyards through machine learning", M. Alessandrini, R. C. Fuentes Rivera, L. Falaschettia, D. Pau, V Tomaselli, C Turchetti; Data in Brief, Jan 2021
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Deep Learning Localization with 2D Range Scanner; Giuseppe Spampinato, Arcangelo Ranieri Bruna, Ivana Guarneri, Davide Giacalone - 2021 International Conference on Automation, Robotics and Applications (ICARA 2021)
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Change Detection in Multivariate Datastreams Controlling False Alarms; Luca Frittoli, Diego Carrera, Giacomo Boracchi. Proceedings of European Conference on Machine Learning (ECML) 2021
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Exploiting History Data for Nonstationary Multi-armed Bandit; Gerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi, Marcello Restelli. Proceedings of European Conference on Machine Learning (ECML) 2021
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Alessandro Barenghi, Diego Carrera, Silvia Mella, Andrea Pace, Gerardo Pelosi, Ruggero Susella, "Profiled Attacks against the Elliptic Curve Scalar Point Multiplication using Neural Networks", International Conference on Network and System Security (NSS) 2021.
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“Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers”, D Pau, M Lattuada, F Loro, A De Vita, GD Licciardo, 2021 IEEE International Conference on Consumer Electronics (ICCE)
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“Tiny Defects Identification of Mechanical Components in Die-Cast Aluminum Using Artificial Neural Networks for Micro-Controllers”, D Pau, F Previdi, E Rota, 2021 IEEE International Conference on Consumer Electronics (ICCE)
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"A grapevine leaves dataset for early detection and classification of Esca disease in vineyards through machine learning", M. Alessandrini, R. C. Fuentes Rivera, L. Falaschettia, D. Pau, V Tomaselli, C Turchetti; Data in Brief, Jan 2021
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Deep Learning Localization with 2D Range Scanner; Giuseppe Spampinato, Arcangelo Ranieri Bruna, Ivana Guarneri, Davide Giacalone - 2021 International Conference on Automation, Robotics and Applications (ICARA 2021)
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Low Cost Point to Point Navigation System; Giuseppe Spampinato, Arcangelo Ranieri Bruna, Davide Giacalone, Giuseppe Messina - 2021 International Conference on Automation, Robotics and Applications (ICARA 2021)
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A Deep Learning Short Commands Recognition for MCU in robotics applications; Ivana Guarneri, Giuseppe Messina, Arcangelo Bruna, Davide Giacalone - 2021 International Conference on Automation, Robotics and Applications (ICARA 2021)
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Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers; Danilo Pau, Davide Denaro, Luigi Zambrano, Giuseppe Di Giore (STM); Giulia Crocioni; Gian Battista Gruosso (Politecnico di Milano) -  First International Research Symposium on Tiny Machine Learning (TinyML 2021)
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Tiny visual classification of sodium chloride sterile bottles fill level on STM32; Danilo Pau, Luca Simonetta - GTTI-MMSP Thematic Meeting 2021 on Multimedia Signal Processing
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"Automating Tiny Neural Network Design with MCU Deployability in the Loop", Danilo Pau, 2021 DATE Conference
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